Top Data Jobs in Toronto

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

Lead the design and optimization of data infrastructure, focusing on scalability. Requires expertise in GCP, ETL/ELT processes, and collaboration across teams.

As a Data Scientist in Product Analytics, you will analyze large datasets, improve user experience, conduct A/B tests, and collaborate with teams to drive product insights and customer engagement.

The AI Data Expert will review and evaluate AI-generated outputs and textual content, ensuring cultural relevance and quality. Responsibilities include content analysis, assessing multimedia materials, and providing structured annotations while adhering to detailed guidelines. Native fluency in French and strong English skills are essential, with previous experience in AI evaluation preferred.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

Design, build, and operate large-scale distributed batch and streaming data systems on AWS. Develop production-grade services, data pipelines (Spark/Hadoop/Airflow), microservices, IaC/CI-CD, and tooling; mentor peers and troubleshoot complex production issues to ensure reliability, scalability, and observability of Cloud Analytics platform.

The Principal Product Manager will define and execute the strategy for Viral Nation's data platform, focusing on data engineering, warehousing, and analytics. Responsibilities include managing the product roadmap, ensuring data quality, and collaborating with teams on technical requirements for data solutions.

The Monetization Analytics Manager will build data models and dashboards, analyze pricing metrics, support pricing strategies, and automate self-service tools for revenue optimization.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

The Google Cloud Data Engineer will design, build, and improve partner-facing web portals, contribute to the full software development lifecycle, and collaborate with cross-functional teams for high-quality software delivery.